Ischemic heart disease multiple imputation technique using machine learning algorithm
Medical data sets in profound data repository like the University of California Irvin (UCI) has
missing values. These essential data are used for multiple analyses by researchers in a …
missing values. These essential data are used for multiple analyses by researchers in a …
Ischemic heart disease prediction using optimized squirrel search feature selection algorithm
In recent years, the volume in globally recognized medical data sets are increasing both with
attributes and number of records. Machine learning algorithms aiming to detect and …
attributes and number of records. Machine learning algorithms aiming to detect and …
Detection of hard exudate from diabetic retinopathy image using fuzzy logic
S Jeyalaksshmi, D Padmapriya… - … and Innovation on Data …, 2021 - Springer
Diabetic retinopathy, otherwise called diabetic eye illness, is a therapeutic condition in
which damage occurs to the retina because of diabetes and is a main source of visual …
which damage occurs to the retina because of diabetes and is a main source of visual …
Cataloguing of coronary heart malady using machine learning algorithms
Cardiovascular Diseases (CVDs) are the leading cause of death worldwide, according to the
World Health Organization: more people die each year from CVDs than from any other …
World Health Organization: more people die each year from CVDs than from any other …
Discovering the Androgen Transition and Prognostic Cardiovascular Disease by Hybrid Techniques in Data Mining
A Revathi, P Sumathi - Intelligent Computing and Innovation on Data …, 2020 - Springer
In ongoing decades, coronary illness has been recognized as the main source of death in
the world. In any case, it is considered the most preventable and controllable illness …
the world. In any case, it is considered the most preventable and controllable illness …